Eryilmaz, MeltemBriman, Mohammed Khalid HilmiYakut, GokceComputer Engineering2024-09-102024-09-1020249783031622830978303162281697830316228092367-33702367-338910.1007/978-3-031-62281-6_202-s2.0-85198039779https://doi.org/10.1007/978-3-031-62281-6_20Eryilmaz, MeltemThis study aims to create an e-commerce application that enables farmers to sell their products directly to their customers without resorting to intermediaries by a smart cargo box. It presents a method by which the agricultural industry can gain momentum in e-commerce. The main contributions of the study are an e-commerce application that enables farmers to sell their products directly to the customer without the need for an intermediary and the design and implementation of a smart cargo box that is tailored to carry agricultural items throughout the delivery process that locks and unlocks only via QR code generated by the application after order. Django FrameworkNext.js, React.js, and Redux are used for the system development. The database is created with PostgreSQL using migrations, and AmazonWeb Services is used for this database. The "ESP32 Cam" is used to read the QR Code.eninfo:eu-repo/semantics/closedAccessE-CommerceE-FarmSmart BoxInternet Of ThingsA New E-Commerce Model Suggestion of Agricultural ProductsConference ObjectN/AQ41016277288WOS:0012847770000200